MONKS · CREATIVE TECHNICAL DIRECTOR, GENERATIVE AI
I connect discovery, creative direction, technical architecture and delivery - helping teams move from possibility to repeatable production.
AI is not the product.
The workflow is.
Every prototype should become either a repeatable system or a clear decision.
Human review is a feature.
I create structure early, expose trade-offs, prototype uncertainty and build for the people who must operate the system after launch.
Clarify business goals, users, assets, data, constraints, outputs, risks and the decisions that must be made before anything is built.
Evidence of how I translate creative needs into architecture, workflows and organizational capability.
An AI-assisted concept system that transforms structured experiential briefs into configurable design directions.
Product vision, workflow architecture, feature definition, model strategy and cross-functional direction.
I can turn an open creative problem into a configurable system with repeatable production logic.
Asset retrieval, multimodal inputs, controllability, model routing, consistency and review.
A dual-module AI application uniting prompt-driven generative synthesis (Kelzo CREATE) with fine-grained post-generation control, inpainting, and asset refinement (Kelzo EDIT).
Product creator & architect across system design, UX, prompt architecture, model routing, and control features for both CREATE and EDIT modules.
I design and build production-grade, end-to-end AI applications that solve both creative generation and precision post-production editing.
Multi-model API orchestration, latent space editing, seed reproducibility, style consistency across modalities, and real-time operator responsiveness.
A proven transformation system connecting executive ambition to prioritized AI use cases, IP governance, team enablement playbooks, and measurable agency/enterprise adoption.
Executive strategy leadership, AI transformation roadmaps, governance policy definition, and team enablement across enterprise & agency environments.
I can bridge high-level strategy with hands-on technical execution, taking organizations from unguided AI experimentation to scalable, risk-free capability.
Commercial model licensing, IP risk mitigation, enterprise data privacy, operator onboarding, and measuring workflow efficiency gains.
The right model is the one that fits the production system,
not the one generating the loudest demo.
I would focus first on reducing the distance between prototype and production.
I am ready to help Monks turn ambitious AI opportunities
into production systems that deliver.